Table REF  mentions script wise performance accuracy of our method ICDAR19 RRC (IC19). Table REF  also compares the performance of our method with other models described in [1]}. The baseline methods have based their methods on famous deep nets for text recognition such as ResNet, VGG16, Seq2Seq with CTC etc. and use the recognised characters to identify the scripts while adopting improvements such as multiscale techniques, voting strategy for combining results from multiple nets, training statistics of the scripts etc. Even though the proposed network is slightly less accurate the benchmarks, it is superior in terms of latency and model size and thus, in contrast, is feasible for on-device deployment.
